Mandarina Court

Jalan 10/142, Bukit Mandarina, 56000 Cheras, Wilayah Persekutuan Kuala Lumpur, Malaysia

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From
RM 600K
Size
800 sqft

Property Transactions

8 subsales grouped by size · Flat →

Median
RM 266,500
PSF
RM 344
Price Size
Period
transactions middle 50% (P25–P75)
800 sqft
Flat
RM 250,000
Level 3
775 sqft · RM 323 PSF
RM 230,000
Level 11
775 sqft · RM 297 PSF
RM 265,000
Level 13
775 sqft · RM 342 PSF
RM 257,000
Level G
775 sqft · RM 332 PSF
RM 320,000
Level 5
775 sqft · RM 413 PSF
RM 268,000
Level 7
775 sqft · RM 346 PSF
RM 270,000
Level 3
775 sqft · RM 348 PSF
RM 280,000
Level 4
775 sqft · RM 361 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 266,500

RM 344 psf

Median transaction price

Manda'rina Court
© OpenStreetMap · CARTO

Mandarina Court, Jalan 10/142, Bukit Mandarina, 56000 Cheras, Wilayah Persekutuan Kuala Lumpur, Malaysia

Maps

Mandarina Court in Kuala Lumpur, Kuala Lumpur recorded 8 subsale transactions between 2021 and 2026, with a median price of RM 267K and a median price per square foot (PSF) of RM 344.

This area consists exclusively of residential properties, with no commercial listings recorded.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM 267K, with most transactions falling within a stable range of RM 242K to RM 291K, and a typical market range of RM 238K to RM 295K.

Most transactions involved flats, with minimal variety in property types.

For price per square foot, the median is RM 344, with most transactions between RM 313 and RM 375. The usual range is RM 307.12 to RM 380.62, showing that most units are priced quite close to each other. With an IQR of RM 73.50 and MAD of RM 31, the PSF demonstrates reasonable consistency across the market.

Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. The consistent property type and stable pricing make it easier to assess value and compare trends. Limited transaction history suggests carefully evaluating comparable sales data.